Evaluation method for the effectiveness of English oral teaching for college students in a blended learning environment
by Jia Li
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 35, No. 1/2, 2025

Abstract: In order to overcome the problems of poor effectiveness and communication fluency in English oral teaching, this paper proposes an evaluation method for the effectiveness of English oral teaching for college students in a blended learning environment. Firstly, consider constructing an effectiveness evaluation index system in a blended learning environment. Then, collect oral teaching data and use parallel K-means clustering algorithm for clustering. Finally, the analytic hierarchy process (AHP) is used to calculate the weight of indicators, classify effectiveness levels, and evaluate the effectiveness of oral teaching. The results showed that after applying the method proposed in this article, the communication fluency and expression intention ability of students at different levels were effectively improved, and the highest expression intention ability score was raised to 8.4. This indicates that the method proposed in this article can better guide the oral teaching process and improve students' oral proficiency.

Online publication date: Tue, 07-Jan-2025

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com